Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
3298
Single Precision Score
3290
Half Precision Score
9601
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alazycomputer |
| Upload Date | June 24 2025 09:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400F @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D23 |
| Motherboard | Micro-Star International Co., Ltd. H510M PRO-E (MS-7D23) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
1971
366.5 IPS |
|
|
Image Classification (Q)
|
100% |
7395
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5716
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4717
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4733
5.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
18579
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (Q)
|
88% |
6978
559.4 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (Q)
|
100% |
15138
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5622
43.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16488
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12112
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12041
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48604
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10072
373.0 IPS |
|
|
Text Classification (SP)
|
100% |
2506
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3602
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2876
49.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2761
47.6 IPS |
